{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\alberto.artasanchez\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.0615028  0.02131043 0.02884259 0.01987914 0.03141178 0.01756465\n",
      " 0.03598634 0.03131616 0.03185103 0.031612   0.03150998 0.04596541\n",
      " 0.04796894 0.42187587 0.0298976  0.03094953 0.03568891 0.01559154\n",
      " 0.01375306 0.01552222]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "data = pd.read_csv(\"train.csv\")\n",
    "X = data.iloc[:,0:20] #independent columns\n",
    "y = data.iloc[:,-1] # pick last column for the target feature\n",
    "model = ExtraTreesClassifier()\n",
    "model.fit(X,y)\n",
    "print(model.feature_importances_) #use inbuilt class\n",
    "# feature_importances of tree based classifiers\n",
    "#plot graph of feature importances for better visualization\n",
    "feat_importances = pd.Series(model.feature_importances_, index=X.\n",
    "columns)\n",
    "feat_importances.nlargest(5).plot(kind='barh')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            specs          score\n",
      "13            ram  931267.519053\n",
      "11      px_height   17363.569536\n",
      "0   battery_power   14129.866576\n",
      "12       px_width    9810.586750\n",
      "8       mobile_wt      95.972863\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "data = pd.read_csv(\"train.csv\")\n",
    "X = data.iloc[:,0:20] #independent columns\n",
    "y = data.iloc[:,-1] #pick last column for the target feature\n",
    "#apply SelectKBest class to extract top 5 best features\n",
    "bestfeatures = SelectKBest(score_func=chi2, k=5)\n",
    "fit = bestfeatures.fit(X,y)\n",
    "dfscores = pd.DataFrame(fit.scores_)\n",
    "dfcolumns = pd.DataFrame(X.columns)\n",
    "scores = pd.concat([dfcolumns,dfscores],axis=1)\n",
    "scores.columns = ['specs','score']\n",
    "print(scores.nlargest(5,'score')) #print the 5 best features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "data = pd.read_csv(\"train.csv\")\n",
    "X = data.iloc[:,0:20] #independent columns\n",
    "y = data.iloc[:,-1] # pick last column for the target feature\n",
    "#get the correlations of each feature in the dataset\n",
    "correlation_matrix = data.corr()\n",
    "top_corr_features = correlation_matrix.index\n",
    "plt.figure(figsize=(20,20))\n",
    "#plot heat map\n",
    "g=sns.heatmap(data[top_corr_features].corr(),annot=True,cmap=\"RdYlGn\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
      "0               842     0          2.2         0   1       0           7   \n",
      "1              1021     1          0.5         1   0       1          53   \n",
      "2               563     1          0.5         1   2       1          41   \n",
      "3               615     1          2.5         0   0       0          10   \n",
      "4              1821     1          1.2         0  13       1          44   \n",
      "...             ...   ...          ...       ...  ..     ...         ...   \n",
      "1995            794     1          0.5         1   0       1           2   \n",
      "1996           1965     1          2.6         1   0       0          39   \n",
      "1997           1911     0          0.9         1   1       1          36   \n",
      "1998           1512     0          0.9         0   4       1          46   \n",
      "1999            510     1          2.0         1   5       1          45   \n",
      "\n",
      "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
      "0       0.6        188        2  ...         20       756  2549     9     7   \n",
      "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
      "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
      "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
      "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
      "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
      "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
      "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
      "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
      "1998    0.1        145        5  ...        336       670   869    18    10   \n",
      "1999    0.9        168        6  ...        483       754  3919    19     4   \n",
      "\n",
      "      talk_time  three_g  touch_screen  wifi  price_range  \n",
      "0            19        0             0     1            1  \n",
      "1             7        1             1     0            2  \n",
      "2             9        1             1     0            2  \n",
      "3            11        1             0     0            2  \n",
      "4            15        1             1     0            1  \n",
      "...         ...      ...           ...   ...          ...  \n",
      "1995         19        1             1     0            0  \n",
      "1996         16        1             1     1            2  \n",
      "1997          5        1             1     0            3  \n",
      "1998         19        1             1     1            0  \n",
      "1999          2        1             1     1            3  \n",
      "\n",
      "[2000 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "threshold = 0.6\n",
    "#Drop columns with a missing value rate higher than threshold\n",
    "data = data[data.columns[data.isnull().mean() < threshold]]\n",
    "#Drop rows with missing value rate higher than threshold\n",
    "data = data.loc[data.isnull().mean(axis=1) < threshold]\n",
    "threshold = 0.6\n",
    "#Drop columns with a missing value rate higher than threshold\n",
    "data = data[data.columns[data.isnull().mean() < threshold]]\n",
    "#Drop rows with missing value rate higher than threshold\n",
    "data = data.loc[data.isnull().mean(axis=1) < threshold]\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
      "0               842     0          2.2         0   1       0           7   \n",
      "1              1021     1          0.5         1   0       1          53   \n",
      "2               563     1          0.5         1   2       1          41   \n",
      "3               615     1          2.5         0   0       0          10   \n",
      "4              1821     1          1.2         0  13       1          44   \n",
      "...             ...   ...          ...       ...  ..     ...         ...   \n",
      "1995            794     1          0.5         1   0       1           2   \n",
      "1996           1965     1          2.6         1   0       0          39   \n",
      "1997           1911     0          0.9         1   1       1          36   \n",
      "1998           1512     0          0.9         0   4       1          46   \n",
      "1999            510     1          2.0         1   5       1          45   \n",
      "\n",
      "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
      "0       0.6        188        2  ...         20       756  2549     9     7   \n",
      "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
      "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
      "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
      "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
      "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
      "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
      "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
      "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
      "1998    0.1        145        5  ...        336       670   869    18    10   \n",
      "1999    0.9        168        6  ...        483       754  3919    19     4   \n",
      "\n",
      "      talk_time  three_g  touch_screen  wifi  price_range  \n",
      "0            19        0             0     1            1  \n",
      "1             7        1             1     0            2  \n",
      "2             9        1             1     0            2  \n",
      "3            11        1             0     0            2  \n",
      "4            15        1             1     0            1  \n",
      "...         ...      ...           ...   ...          ...  \n",
      "1995         19        1             1     0            0  \n",
      "1996         16        1             1     1            2  \n",
      "1997          5        1             1     0            3  \n",
      "1998         19        1             1     1            0  \n",
      "1999          2        1             1     1            3  \n",
      "\n",
      "[2000 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "#Filling all missing values with 0\n",
    "data = data.fillna(0)\n",
    "#Filling missing values with medians of the columns\n",
    "data = data.fillna(data.median())\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    index   color\n",
      "0       0   green\n",
      "1       1  yellow\n",
      "2       2     red\n",
      "3       3     red\n",
      "4       4  purple\n",
      "5       5     red\n",
      "6       6     red\n",
      "7       7  purple\n",
      "8       8     red\n",
      "9       9     red\n",
      "10     10  yellow\n",
      "11     11     red\n",
      "12     12   black\n",
      "13     13   white\n"
     ]
    }
   ],
   "source": [
    "#Max fill function for categorical columns\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"dataset.csv\")\n",
    "data['color'].fillna(data['color'].value_counts().idxmax(),\n",
    "inplace=True)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
      "0               842     0          2.2         0   1       0           7   \n",
      "1              1021     1          0.5         1   0       1          53   \n",
      "2               563     1          0.5         1   2       1          41   \n",
      "3               615     1          2.5         0   0       0          10   \n",
      "4              1821     1          1.2         0  13       1          44   \n",
      "...             ...   ...          ...       ...  ..     ...         ...   \n",
      "1995            794     1          0.5         1   0       1           2   \n",
      "1996           1965     1          2.6         1   0       0          39   \n",
      "1997           1911     0          0.9         1   1       1          36   \n",
      "1998           1512     0          0.9         0   4       1          46   \n",
      "1999            510     1          2.0         1   5       1          45   \n",
      "\n",
      "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
      "0       0.6        188        2  ...         20       756  2549     9     7   \n",
      "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
      "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
      "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
      "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
      "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
      "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
      "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
      "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
      "1998    0.1        145        5  ...        336       670   869    18    10   \n",
      "1999    0.9        168        6  ...        483       754  3919    19     4   \n",
      "\n",
      "      talk_time  three_g  touch_screen  wifi  price_range  \n",
      "0            19        0             0     1            1  \n",
      "1             7        1             1     0            2  \n",
      "2             9        1             1     0            2  \n",
      "3            11        1             0     0            2  \n",
      "4            15        1             1     0            1  \n",
      "...         ...      ...           ...   ...          ...  \n",
      "1995         19        1             1     0            0  \n",
      "1996         16        1             1     1            2  \n",
      "1997          5        1             1     0            3  \n",
      "1998         19        1             1     1            0  \n",
      "1999          2        1             1     1            3  \n",
      "\n",
      "[2000 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "#Dropping the outlier rows with standard deviation\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"train.csv\")\n",
    "#Dropping the outlier rows with standard deviation\n",
    "factor = 2\n",
    "upper_lim = data['battery_power'].mean () + data['battery_power'].std() * factor\n",
    "lower_lim = data['battery_power'].mean () - data['battery_power'].std() * factor\n",
    "data = data[(data['battery_power'] < upper_lim) & (data['battery_power'] > lower_lim)]\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
      "0               842     0          2.2         0   1       0           7   \n",
      "1              1021     1          0.5         1   0       1          53   \n",
      "2               563     1          0.5         1   2       1          41   \n",
      "3               615     1          2.5         0   0       0          10   \n",
      "4              1821     1          1.2         0  13       1          44   \n",
      "...             ...   ...          ...       ...  ..     ...         ...   \n",
      "1994            858     0          2.2         0   1       0          50   \n",
      "1995            794     1          0.5         1   0       1           2   \n",
      "1996           1965     1          2.6         1   0       0          39   \n",
      "1997           1911     0          0.9         1   1       1          36   \n",
      "1998           1512     0          0.9         0   4       1          46   \n",
      "\n",
      "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
      "0       0.6        188        2  ...         20       756  2549     9     7   \n",
      "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
      "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
      "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
      "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
      "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
      "1994    0.1         84        1  ...        528      1416  3978    17    16   \n",
      "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
      "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
      "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
      "1998    0.1        145        5  ...        336       670   869    18    10   \n",
      "\n",
      "      talk_time  three_g  touch_screen  wifi  price_range  \n",
      "0            19        0             0     1            1  \n",
      "1             7        1             1     0            2  \n",
      "2             9        1             1     0            2  \n",
      "3            11        1             0     0            2  \n",
      "4            15        1             1     0            1  \n",
      "...         ...      ...           ...   ...          ...  \n",
      "1994          3        1             1     0            3  \n",
      "1995         19        1             1     0            0  \n",
      "1996         16        1             1     1            2  \n",
      "1997          5        1             1     0            3  \n",
      "1998         19        1             1     1            0  \n",
      "\n",
      "[1957 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "#Dropping the outlier rows with Percentiles\n",
    "upper_lim = data['battery_power'].quantile(.99)\n",
    "lower_lim = data['battery_power'].quantile(.01)\n",
    "data = data[(data['battery_power'] < upper_lim) & (data['battery_power'] > lower_lim)]\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
      "0             842.0     0          2.2         0   1       0           7   \n",
      "1            1021.0     1          0.5         1   0       1          53   \n",
      "2             563.0     1          0.5         1   2       1          41   \n",
      "3             615.0     1          2.5         0   0       0          10   \n",
      "4            1821.0     1          1.2         0  13       1          44   \n",
      "...             ...   ...          ...       ...  ..     ...         ...   \n",
      "1994          858.0     0          2.2         0   1       0          50   \n",
      "1995          794.0     1          0.5         1   0       1           2   \n",
      "1996         1965.0     1          2.6         1   0       0          39   \n",
      "1997         1911.0     0          0.9         1   1       1          36   \n",
      "1998         1512.0     0          0.9         0   4       1          46   \n",
      "\n",
      "      m_dep  mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  \\\n",
      "0       0.6        188        2  ...         20       756  2549     9     7   \n",
      "1       0.7        136        3  ...        905      1988  2631    17     3   \n",
      "2       0.9        145        5  ...       1263      1716  2603    11     2   \n",
      "3       0.8        131        6  ...       1216      1786  2769    16     8   \n",
      "4       0.6        141        2  ...       1208      1212  1411     8     2   \n",
      "...     ...        ...      ...  ...        ...       ...   ...   ...   ...   \n",
      "1994    0.1         84        1  ...        528      1416  3978    17    16   \n",
      "1995    0.8        106        6  ...       1222      1890   668    13     4   \n",
      "1996    0.2        187        4  ...        915      1965  2032    11    10   \n",
      "1997    0.7        108        8  ...        868      1632  3057     9     1   \n",
      "1998    0.1        145        5  ...        336       670   869    18    10   \n",
      "\n",
      "      talk_time  three_g  touch_screen  wifi  price_range  \n",
      "0            19        0             0     1            1  \n",
      "1             7        1             1     0            2  \n",
      "2             9        1             1     0            2  \n",
      "3            11        1             0     0            2  \n",
      "4            15        1             1     0            1  \n",
      "...         ...      ...           ...   ...          ...  \n",
      "1994          3        1             1     0            3  \n",
      "1995         19        1             1     0            0  \n",
      "1996         16        1             1     1            2  \n",
      "1997          5        1             1     0            3  \n",
      "1998         19        1             1     1            0  \n",
      "\n",
      "[1957 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "#Capping the outlier rows with percentiles\n",
    "upper_lim = data['battery_power'].quantile(.99)\n",
    "lower_lim = data['battery_power'].quantile(.01)\n",
    "data.loc[(data['battery_power'] > upper_lim), 'battery_power'] = upper_lim\n",
    "data.loc[(data['battery_power'] < lower_lim), 'battery_power'] = lower_lim\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    index  black  green  purple  red  white  yellow\n",
      "0       0      0      1       0    0      0       0\n",
      "1       1      0      0       0    0      0       1\n",
      "2       2      0      0       0    0      0       0\n",
      "3       3      0      0       0    1      0       0\n",
      "4       4      0      0       1    0      0       0\n",
      "5       5      0      0       0    1      0       0\n",
      "6       6      0      0       0    1      0       0\n",
      "7       7      0      0       1    0      0       0\n",
      "8       8      0      0       0    0      0       0\n",
      "9       9      0      0       0    1      0       0\n",
      "10     10      0      0       0    0      0       1\n",
      "11     11      0      0       0    0      0       0\n",
      "12     12      1      0       0    0      0       0\n",
      "13     13      0      0       0    0      1       0\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv(\"dataset.csv\")\n",
    "encoded_columns = pd.get_dummies(data['color'])\n",
    "data = data.join(encoded_columns).drop('color', axis=1)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   value     log+1       log\n",
      "0      3  1.386294  3.737670\n",
      "1     67  4.219508  4.663439\n",
      "2    -17       NaN  3.091042\n",
      "3     44  3.806662  4.418841\n",
      "4     37  3.637586  4.330733\n",
      "5      3  1.386294  3.737670\n",
      "6     31  3.465736  4.248495\n",
      "7    -38       NaN  0.000000\n"
     ]
    }
   ],
   "source": [
    "#Log Transform Example\n",
    "data = pd.DataFrame({'value':[3,67, -17, 44, 37, 3, 31, -38]})\n",
    "data['log+1'] = (data['value']+1).transform(np.log)\n",
    "#Negative Values Handling\n",
    "#Note that the values are different\n",
    "data['log'] = (data['value']-data['value'].min()+1) .transform(np.log)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   value  normalized\n",
      "0      7    0.450000\n",
      "1     25    0.600000\n",
      "2    -47    0.000000\n",
      "3     73    1.000000\n",
      "4      8    0.458333\n",
      "5     22    0.575000\n",
      "6     53    0.833333\n",
      "7    -25    0.183333\n"
     ]
    }
   ],
   "source": [
    "data = pd.DataFrame({'value':[7,25, -47, 73, 8, 22, 53, -25]})\n",
    "data['normalized'] = (data['value'] - data['value'].min()) / (data['value'].max() - data['value'].min())\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   value  standardized\n",
      "0      7     -0.193539\n",
      "1     25      0.270954\n",
      "2    -47     -1.587017\n",
      "3     73      1.509601\n",
      "4      8     -0.167733\n",
      "5     22      0.193539\n",
      "6     53      0.993498\n",
      "7    -25     -1.019303\n"
     ]
    }
   ],
   "source": [
    "data = pd.DataFrame({'value':[7,25, -47, 73, 8, 22, 53, -25]})\n",
    "data['standardized'] = (data['value'] - data['value'].mean()) / data['value'].std()\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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